Effects of Freezing Temperature Parameterization on Simulated Sea‐Ice Thickness Validated by MOSAiC Observations
Abstract Freezing temperature parameterization significantly impacts the heat balance at sea‐ice bottom and, consequently, the simulated sea‐ice thickness. Here, the single‐column model ICEPACK was used to investigate the impact of the freezing temperature parameterization on the simulated sea‐ice t...
Published in: | Geophysical Research Letters |
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ftdoajarticles:oai:doaj.org/article:0175dca28c4d4f50ba036ae743c77137 2024-09-09T19:25:20+00:00 Effects of Freezing Temperature Parameterization on Simulated Sea‐Ice Thickness Validated by MOSAiC Observations Fengguan Gu Frank Kauker Qinghua Yang Bo Han Yongjie Fang Changwei Liu 2024-06-01T00:00:00Z https://doi.org/10.1029/2024GL108281 https://doaj.org/article/0175dca28c4d4f50ba036ae743c77137 EN eng Wiley https://doi.org/10.1029/2024GL108281 https://doaj.org/toc/0094-8276 https://doaj.org/toc/1944-8007 1944-8007 0094-8276 doi:10.1029/2024GL108281 https://doaj.org/article/0175dca28c4d4f50ba036ae743c77137 Geophysical Research Letters, Vol 51, Iss 12, Pp n/a-n/a (2024) Arctic sea ice freezing temperature MOSAiC oceanic heat flux sea‐ice thickness parameterization Geophysics. Cosmic physics QC801-809 article 2024 ftdoajarticles https://doi.org/10.1029/2024GL108281 2024-08-05T17:49:07Z Abstract Freezing temperature parameterization significantly impacts the heat balance at sea‐ice bottom and, consequently, the simulated sea‐ice thickness. Here, the single‐column model ICEPACK was used to investigate the impact of the freezing temperature parameterization on the simulated sea‐ice thermodynamic growth during the MOSAiC expedition from October 2019 to September 2020. It is shown that large model errors exist with the standard parameterization and that different formulations for calculating the freezing temperature impact the simulated sea‐ice thickness significantly. Considering the winter mixed layer temperature, a modified parameterization of the freezing point temperature based on Mushy scheme was developed. The mean absolute error (ratio) of simulating sea‐ice thickness for all buoys reduces from 7.4 cm (4.9%) with the “Millero” scheme, which performs the best among the existing schemes in the ICEPACK model, to 4.2 cm (2.9%) with the new developed scheme. Article in Journal/Newspaper Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Geophysical Research Letters 51 12 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic sea ice freezing temperature MOSAiC oceanic heat flux sea‐ice thickness parameterization Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Arctic sea ice freezing temperature MOSAiC oceanic heat flux sea‐ice thickness parameterization Geophysics. Cosmic physics QC801-809 Fengguan Gu Frank Kauker Qinghua Yang Bo Han Yongjie Fang Changwei Liu Effects of Freezing Temperature Parameterization on Simulated Sea‐Ice Thickness Validated by MOSAiC Observations |
topic_facet |
Arctic sea ice freezing temperature MOSAiC oceanic heat flux sea‐ice thickness parameterization Geophysics. Cosmic physics QC801-809 |
description |
Abstract Freezing temperature parameterization significantly impacts the heat balance at sea‐ice bottom and, consequently, the simulated sea‐ice thickness. Here, the single‐column model ICEPACK was used to investigate the impact of the freezing temperature parameterization on the simulated sea‐ice thermodynamic growth during the MOSAiC expedition from October 2019 to September 2020. It is shown that large model errors exist with the standard parameterization and that different formulations for calculating the freezing temperature impact the simulated sea‐ice thickness significantly. Considering the winter mixed layer temperature, a modified parameterization of the freezing point temperature based on Mushy scheme was developed. The mean absolute error (ratio) of simulating sea‐ice thickness for all buoys reduces from 7.4 cm (4.9%) with the “Millero” scheme, which performs the best among the existing schemes in the ICEPACK model, to 4.2 cm (2.9%) with the new developed scheme. |
format |
Article in Journal/Newspaper |
author |
Fengguan Gu Frank Kauker Qinghua Yang Bo Han Yongjie Fang Changwei Liu |
author_facet |
Fengguan Gu Frank Kauker Qinghua Yang Bo Han Yongjie Fang Changwei Liu |
author_sort |
Fengguan Gu |
title |
Effects of Freezing Temperature Parameterization on Simulated Sea‐Ice Thickness Validated by MOSAiC Observations |
title_short |
Effects of Freezing Temperature Parameterization on Simulated Sea‐Ice Thickness Validated by MOSAiC Observations |
title_full |
Effects of Freezing Temperature Parameterization on Simulated Sea‐Ice Thickness Validated by MOSAiC Observations |
title_fullStr |
Effects of Freezing Temperature Parameterization on Simulated Sea‐Ice Thickness Validated by MOSAiC Observations |
title_full_unstemmed |
Effects of Freezing Temperature Parameterization on Simulated Sea‐Ice Thickness Validated by MOSAiC Observations |
title_sort |
effects of freezing temperature parameterization on simulated sea‐ice thickness validated by mosaic observations |
publisher |
Wiley |
publishDate |
2024 |
url |
https://doi.org/10.1029/2024GL108281 https://doaj.org/article/0175dca28c4d4f50ba036ae743c77137 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Geophysical Research Letters, Vol 51, Iss 12, Pp n/a-n/a (2024) |
op_relation |
https://doi.org/10.1029/2024GL108281 https://doaj.org/toc/0094-8276 https://doaj.org/toc/1944-8007 1944-8007 0094-8276 doi:10.1029/2024GL108281 https://doaj.org/article/0175dca28c4d4f50ba036ae743c77137 |
op_doi |
https://doi.org/10.1029/2024GL108281 |
container_title |
Geophysical Research Letters |
container_volume |
51 |
container_issue |
12 |
_version_ |
1809895071535857664 |